"Anthropic's Model Context Protocol (MCP), coined the "USB-C for AI," has inspired the software industry to think bigger with their AI assistants. Now, armed with access to external data and APIs, as well as to internal platforms and databases, agents are getting arms and legs to conduct impressive automation. MCP is no longer reserved for trendy AI startups or niche software-as-a-service providers, as the major clouds have begun experimenting with adding MCP servers to their offerings to help customers automate core cloud computing operations."
"Using an MCP server connected to the cloud of their choosing, engineers could improve the quality of responses of AI coding agents by providing them with cloud documentation and other highly contextual information relevant to the host cloud. But it goes further than knowledge gathering. MCP in cloud computing could be used to spin up new servers and adjust configurations, or retrieve production metadata in an instant."
Model Context Protocol (MCP) enables AI agents to access external data, APIs, internal platforms, and databases to perform richer automation. Major cloud providers are adding official MCP servers to their offerings to let authenticated AI clients make cloud API calls using existing cloud credentials. MCP servers complement existing CLIs and APIs and can improve AI coding agent responses by supplying cloud documentation and contextual information. MCP-powered automation can spin up servers, adjust configurations, and retrieve production metadata instantly. Popular AI development environments and LLM-driven agents support MCP out of the box, requiring no extra licensing beyond standard cloud service costs.
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